Description
Gestational Diabetes (GD) can cause problems for the mother and the baby during pregnancy and after birth. But the risks can be reduced if the condition is detected early and well managed.
“Gestational diabetes can cause problems for you and your baby during pregnancy and after birth. But the risks can be reduced if the condition is detected early and well managed.”NHS.uk
We use Sugar Sensors and wearables to collect a lot of data. Most Sugar Sensors generate around 10,000 data-points/month, which can be analysed to help stabilise blood sugar in the future.
Our Diabetes Intelligence Team (DIT) will analyse your glucose and wearables data with the goal of discovering patterns, informing conclusions, and supporting decision-making for improving the stability of blood sugar levels and well-managed GD lowers the risk of permanent diabetes for the mother and/or the baby.
Who’s at risk of gestational diabetes
Any woman can develop gestational diabetes during pregnancy, but you’re at an increased risk if:
- you are over 40
- your body mass index (BMI) is above 30
- 1 of your parents or siblings has diabetes
- you are of south Asian, Black, African-Caribbean or Middle Eastern origin (even if you were born in the UK)
How can we help detect Gestational Diabetes?
Detection:
- GD can happen at any stage of pregnancy but is more common in the second or third trimester.
- We can help detect GD via our 1000Test™ as it is 14-day test and not a single blood test.
How can we help manage Gestational Diabetes?
We start by:
- Procuring a Sugar Sensor(s)
- Setup an VideoMeet to setup the Sugar Sensor
- Apply the Sugar Sensor with your Health Team during the VideoMeet
- Connect the Sugar Sensor to Sijji Health intelligence platform (SHIP)
- Setup a Visual Food Diary or a more comprehensive MyFitnessPal Food Diary
- Ask the member to update the chosen Food Diary with food & drinks
- Ask the member to update other contextual data for a more detailed Gestational Diabetes Management (GDM)
- If possible, setup wearables such as FitBit or Apple Watch.
Then we:
- Collect all the data from the Sugar Sensor and
- Perform comprehensive Diabetes Intelligence (DI) analysis to
- Gain insights into how the member is performing and then,
So we can:
- Use the insights to improve health, fitness & lifestyle decisions, and/or
- Identify problems or issues, spot trends, and find new opportunities
- Make a Personalised Health Plan including goals and milestones
- Prepare a report for the member to bring to the doctor for the scheduled check-ups
- Compile this knowledge into actionable insights, such as:
- “What to do” or
- “What could happen if members take (or don’t take) a certain action”
What is Diabetes Intelligence:
Diabetes intelligence (DI) software that ingests health data and presents it in user-friendly views such as reports, dashboards, charts and graphs. DI tools enable our Health Teams to access different types of data — historical and current, wearables and sensors, as well as member-reported data. The Teams can analyse this information to gain insights into how the member is performing.
DI offers a way for our Teams to examine data to understand trends and derive insights and use the insights to improve health, fitness & lifestyle decisions, identify problems or issues, spot trends, and find new opportunities.
The Teams will then compile this knowledge into actionable insights, such as: “What to do” or “What could happen if members take (or don’t take) a certain action”
Why Diabetes Intelligence is important:
Diabetes Intelligence gives our Teams the ability to ask questions and get answers. Instead of using best guesses, they can base decisions on what the data is telling them — whether it relates to nutrition, blood sugar, emotional fitness, heart rate, sleep or fitness.
Why is the Member’s blood sugar levels spiking every Tuesday and Friday afternoon, but not on Wednesday? Why is the Member sleeping badly every Monday night? How can we increase the fitness level without increasing time spent on activities?
Diabetes intelligence provides past and current insights and helps predict the future. This is achieved through an array of technologies and practices, from analytics and reporting to data mining and predictive analytics. By providing an accurate picture of the Members’ health & fitness at a specific point in time, DI provides our Teams with the means to design a health & fitness strategy based on factual data.
Di allows for our Teams to:
- Uncover the members’ behaviour, preferences and trends in their health, and use the insights to better target solutions, services and recommendations to the members whose health and lifestyle might vary.
- Monitor the effects and responses of recommendations and plans.
- Fix or make improvements on an ongoing basis, fuelled by data insights.
- Most importantly of all, Diabetes Intelligence relies on data insights and not subjective feedback from the member.
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